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: 280812534 2025 Postdoctoral Research Associate - AI/machine learning for analytical and forensic chemistry D-25-LPB-00006 | Research | Ludwig Princeton Branch The Skinnider Lab at Princeton University aims
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an air force base involving UAV activities Visit to a navy base Battlefield walk ("staff ride" learning experience) Visit to the security fence and a checkpoint to learn operations/procedures Visit
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limited to synthetic and chemical biology approaches to cellular computation and biomolecular logic design, the development and implementation of novel algorithms, machine learning for parsing biological
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mission and vision. Come join us! Core Duties: Installation, Maintenance, Repair and Troubleshooting Install, modify, maintain and repair of electronics equipment, prototypes, and computer systems to ensure
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) is required. Preferred Qualifications: Familiarity with machine learning methods for neural data analysis and strong programming skills. This position is subject to the University's background check
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(faculty, students, staff) operating machines and tools for independent research or educational purposes: -Organize and deliver instructional classes for new users of the SEAS machine shop -Instruct users in
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Professor level with a target starting date of September 1, 2026. The search is across the broad areas of Statistics and their applications in machine learning. The ORFE department is part of the School
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collected from these studies, subject recruitment, and some administrative work. Depending on qualifications/interest, the research specialist may also assist with developing computational models of learning
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system Ability to follow verbal and written instructions Ability to communicate effectively in person and in writing Ability to prioritize work to meet deadlines Basic computer skills, including email and
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technical field. Must be able to communicate and work well with others. Must possess a valid driver’s license and be able to pass a background check. Must have the ability to learn computer basics and be able